Optimal parameters estimation of the PEMFC using a balanced version of water strider algorithm
Recently, much attention was paid to the application of renewable energy in environmental issues. Meanwhile, the fuel cell industry, which is considered an environmentally friendly industry, is one of the important components of this project. They are in fact devices for the direct conversion of che...
- Autores:
-
Syah, Rahmad
Lawal, Adedoyin Isola
Grimaldo Guerrero, John William
Suksatan, Wanich
Sunarsi, Denok
Elveny, Marischa
Alkaim, Ayad
Thangavelu, Lakshmi
Aravindhan, Surendar
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2021
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/8990
- Acceso en línea:
- https://hdl.handle.net/11323/8990
https://doi.org/10.1016/j.egyr.2021.10.057
https://repositorio.cuc.edu.co/
- Palabra clave:
- Proton exchange membrane fuel cell
Model parameters estimation
Balanced Water Strider optimizer
A total of squared error
Terminal voltage
Practical test case
- Rights
- openAccess
- License
- CC0 1.0 Universal
| Summary: | Recently, much attention was paid to the application of renewable energy in environmental issues. Meanwhile, the fuel cell industry, which is considered an environmentally friendly industry, is one of the important components of this project. They are in fact devices for the direct conversion of chemical energy into electrical energy by an electrochemical reaction without the need for any mechanical parts. In this study, it is attempted to model one of their important types, called proton exchange membrane fuel cells, so that it can be used in predicting the behavior of the fuel cell and examining various parameters affecting the performance of the cell. The main idea is to optimal parameters estimation for the proton exchange membrane fuel cells by minimizing the total Squared Error value between the empirical output voltage and the approximated output voltage. For giving better results in terms of accuracy and reliability, a new design of a metaheuristic called the balanced Water Strider Algorithm is utilized. The results of the suggested method are finally validated by comparison with several latest optimizers applied on a practical test case. After running all of the optimizers 30 times independently, the proposed method with minimum absolute error equals 3.4831e−4 shows the best results toward the others. |
|---|